作者: D.R Nielsen , R Pitchumani
DOI: 10.1016/S0266-3538(01)00213-5
关键词: Real-time simulation 、 Artificial neural network 、 Work in process 、 Bridging (networking) 、 Process simulation 、 Composite material 、 Transfer molding 、 Materials science 、 Forensic engineering 、 Computer simulation 、 Mechanical engineering 、 Flow control (fluid) 、 General Engineering 、 Ceramics and Composites
摘要: Real-time feedback control of resin flow through a fibrous preform during the mold-filling step transfer molding offers an effective means eliminating fill-related defects in composite products. Process simulation models have played indirect role control, either off-line determination parameters to be used process, or training artificial neural networks that act as proxy simulators online with process. This paper explores, for first time, use on-the-fly finite-difference-based numerical solution partial differential equations governing mold filling closed-loop control. The simulations are forecast system response real-time, order determine best combination rates at injection ports so steer target schedule performance controller implemented on lab-scale process is demonstrated several configurations and desired fill patterns. study paves way better utilization advances modeling computational infrastructure toward bridging science practice composites processing.